Associate Bioinformatician - Genetics & Genomic Sciences

Mount Sinai Health SystemNew York, NY

About The Position

The Associate Bioinformatician manages and organizes large biomedical databases and conducts statistical, genomic, and phenotypic analyses using biobank and electronic health record (EHR) data. Uses computational tools and software to gather, store, manipulate, and analyze research data related to rare genetic diseases. The Associate Bioinformatician will work with a multidisciplinary team of researchers, clinicians, and geneticists on innovative approaches to phenotyping rare genetic disorders using genomic data, EHRs, and population biobanks. The individual will support research projects focused on improving understanding of disease presentation, progression, and genotype–phenotype relationships through integrated computational and clinical data analysis. The ideal candidate will have strong statistical and programming proficiencies with proven expertise in genomic analysis, biomedical data science, and analysis of large-scale clinical and genetic datasets.

Requirements

  • Strong statistical proficiencies.
  • Strong programming proficiencies.
  • Proven expertise in genomic analysis.
  • Proven expertise in biomedical data science.
  • Proven expertise in analysis of large-scale clinical and genetic datasets.

Responsibilities

  • Manages and organizes large biomedical databases.
  • Conducts statistical, genomic, and phenotypic analyses using biobank and electronic health record (EHR) data.
  • Uses computational tools and software to gather, store, manipulate, and analyze research data related to rare genetic diseases.
  • Works with a multidisciplinary team of researchers, clinicians, and geneticists on innovative approaches to phenotyping rare genetic disorders using genomic data, EHRs, and population biobanks.
  • Supports research projects focused on improving understanding of disease presentation, progression, and genotype–phenotype relationships through integrated computational and clinical data analysis.
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